# optimizer
optimizer = dict(type='SGD', lr=0.02, momentum=0.9, weight_decay=0.0001)
optimizer_config = dict(grad_clip=None)
# learning policy
lr_config = dict(policy='step',
                 warmup='linear',
                 warmup_iters=500,
                 warmup_ratio=0.001,
                 step=[8, 11])
runner = dict(type='EpochBasedRunner', max_epochs=12)
